| V1nKy vs Kazuya | 26–35 | 42.62% |
| V1nKy vs Jin | 26–28 | 48.15% |
| V1nKy vs Reina | 28–22 | 56.00% |
| V1nKy vs King | 25–18 | 58.14% |
| V1nKy vs Dragunov | 15–19 | 44.12% |
| V1nKy vs Bryan | 16–15 | 51.61% |
| V1nKy vs Law | 16–14 | 53.33% |
| V1nKy vs Lars | 18–10 | 64.29% |
| V1nKy vs Hwoarang | 8–19 | 29.63% |
| V1nKy vs Devil Jin | 8–15 | 34.78% |
| V1nKy vs Eddy | 9–14 | 39.13% |
| V1nKy vs Azucena | 14–8 | 63.64% |
| V1nKy vs Heihachi | 10–11 | 47.62% |
| V1nKy vs Asuka | 12–8 | 60.00% |
| V1nKy vs Jun | 14–5 | 73.68% |
| V1nKy vs Clive | 15–4 | 78.95% |
| V1nKy vs Lili | 9–9 | 50.00% |
| V1nKy vs Steve | 11–6 | 64.71% |
| V1nKy vs Yoshimitsu | 8–8 | 50.00% |
| V1nKy vs Lee | 5–11 | 31.25% |
| V1nKy vs Nina | 4–9 | 30.77% |
| V1nKy vs Paul | 0–12 | 0.00% |
| V1nKy vs Leroy | 6–6 | 50.00% |
| V1nKy vs Victor | 7–5 | 58.33% |
| V1nKy vs Alisa | 5–6 | 45.45% |
| V1nKy vs Xiaoyu | 4–4 | 50.00% |
| V1nKy vs Jack-8 | 3–4 | 42.86% |
| V1nKy vs Kuma | 3–4 | 42.86% |
| V1nKy vs Shaheen | 4–2 | 66.67% |
| V1nKy vs Miary Zo | 5–1 | 83.33% |
| V1nKy vs Zafina | 3–2 | 60.00% |
| V1nKy vs Feng | 4–0 | 100.00% |
| V1nKy vs Claudio | 2–1 | 66.67% |
| V1nKy vs Lidia | 2–1 | 66.67% |
| V1nKy vs Anna | 2–1 | 66.67% |
| V1nKy vs Panda | 0–2 | 0.00% |
| V1nKy vs Raven | 2–0 | 100.00% |
| V1nKy vs Fahkumram | 1–1 | 50.00% |
| V1nKy vs Leo | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.